海杂波背景下的双参数单元平均恒虚警检测器

介绍了海杂波的幅度分布模型,指出了对于同一门限系数"尖锐"海杂波背景下的虚警率要明显高于噪声背景下的虚警率,提出了双参数单元平均恒虚警(CA-CFAR)检测器的结构框图,仿真分析了其检测性能.最后分别利用双参数CA-CFAR检测器和常规CA-CFAR检测方法对实测数据进行处理和比较,指出在虚警率一定的前提下前者相对于后两者在空间上可以自适应地改变门限系数以有效地抑制海杂波引起的高虚警.     

马克思主义与乌托邦思想

近年来,乌托邦思想已经受到西方马克思主义者越来越多的关注和讨论.乌托邦思想在西方并没有消亡,而是大有复活之势.现代社会压抑乌托邦精神,但乌托邦精神却挣脱了现实的罗网,它无处不在,已不再只是一种"虚假意识",它也是一种实践;不再只是一种理论,它也是一种方法和策略.     

饭店类上市公司财务危机预警研究

财务危机预警分析正在成为企业提高管理水平的重要工具。我国上市饭店企业数量减少,经济效益总体差强人意。企业出现危机能够通过财务信息反映出来,将逻辑回归预警模型引入饭店企业管理中,有助于企业建立相应的预警应对机制,及时采取措施,以减少或消除财务危机带给企业的危害,提高上市饭店企业的竞争力。     

When children’s testimonies are used as evidence: how children’s accounts may impact child custodial decisions

Abstract

In child custody cases, children oftentimes provide allegations of experienced trauma against one of their parents. Such allegations can happen before any investigative interviews (e.g., by the police or child protective services) have taken place. A central theme here concerns how to appraise such allegations and make certain that children’s accounts are taken seriously. In the current special issue, the focus is on new work on the functioning of children’s memory and its relation to trauma or work on children’s suggestibility and memory when they are traumatized. Specifically, key experts in the field of children’s memory provided contributions on: (1) the impact of interviewer support and rapport building on children’s testimonies, (2) the role of parental alienation in children’s testimonial accuracy, and (3) different types of false memories in children’s memory reports.     

A new confidence interval in measurement error model with the reliability ratio known

For the slope parameter of the measurement error model with the reliability ratio known, this article constructs a fiducial generalized confidence interval (FGCI) which is proved to have correct asymptotic coverage. Simulation results demonstrate that the FGCI often outperforms the existing intervals in terms of empirical coverage probability, average interval length, and false parameter coverage rate. Two examples are also provided to illustrate our approach.     

How Parenting Style Affects False Belief Understanding

This study investigated whether mothers facilitate false belief understanding, and if so, what strategies are particularly relevant. The mothers of 64 3- and 4-year-olds were given questionnaires eliciting information about mother's education, mother's occupation, number of younger and older siblings, the time the child spends with mother, and about how mothers deal with five disciplinary situations with their child. Three variables were positively correlated with belief understanding: age, number of older siblings, and number of times mothers said they would respond to the disciplinary situations by asking the child to reflect on the victim's feelings (How Feel responses). These three variables had an independent effect on belief understanding because each was significant after accounting for the influence due to the other two variables. In contrast, there was no significant positive relation between belief understanding and mothers who engaged their child in general discussion and exploration of the disciplinary issues, or who simply reprimanded the child without discussing the situation. The effects for number of older siblings and How Feel responses remained even after the influence due to the child's age, verbal mental age, time spent with the mother, and number of younger siblings was accounted for. The results are consistent with recent research showing that parent-child relations may be important for theory of mind understanding. More importantly, they provide insight into a specific strategy by which parents may help children learn about mental states.     

A bootstrap control chart for inverse Gaussian percentiles

The conventional Shewhart-type control chart is developed essentially on the central limit theorem. Thus, the Shewhart-type control chart performs particularly well when the observed process data come from a near-normal distribution. On the other hand, when the underlying distribution is unknown or non-normal, the sampling distribution of a parameter estimator may not be available theoretically. In this case, the Shewhart-type charts are not available. Thus, in this paper, we propose a parametric bootstrap control chart for monitoring percentiles when process measurements have an inverse Gaussian distribution. Through extensive Monte Carlo simulations, we investigate the behaviour and performance of the proposed bootstrap percentile charts. The average run lengths of the proposed percentage charts are investigated.     

Power and stability comparisons of multiple testing procedures with false discovery rate control

High-throughput data analyses are widely used for examining differential gene expression, identifying single nucleotide polymorphisms, and detecting methylation loci. False discovery rate (FDR) has been considered a proper type I error rate to control for discovery-based high-throughput data analysis. Various multiple testing procedures have been proposed to control the FDR. The power and stability properties of some commonly used multiple testing procedures have not been extensively investigated yet, however. Simulation studies were conducted to compare power and stability properties of five widely used multiple testing procedures at different proportions of true discoveries for various sample sizes for both independent and dependent test statistics. Storey's two linear step-up procedures showed the best performance among all tested procedures considering FDR control, power, and variance of true discoveries. Leukaemia and ovarian cancer microarray studies were used to illustrate the power and stability characteristics of these five multiple testing procedures with FDR control.     

The effect of autocorrelation on the retrospective X-chart

Quality control chart interpretation is usually based on the assumption that successive observations are independent over time. In this article we show the effect of autocorrelation on the retrospective Shewhart chart for individuals, often referred to as the X-chart, with the control limits based on moving ranges. It is shown that the presence of positive first lag autocorrelation results in an increased number of false alarms from the control chart. Negative first lag autocorrelation can result in unnecessarily wide control limits such that significant shifts in the process mean may go undetected. We use first-order autoregressive and first-order moving average models in our simulation of small samples of autocorrelated data.     

Addition of runs to an s-level supersaturated design

The purpose of the present work is to extend the work of Gupta et al. (2010) to s  -level column balanced supersaturated designs. Addition of runs to an existing E(χ²)-optimal$E({\chi }^2)\mathrm{-}\mathrm{optimal}$ supersaturated design and to study the optimality of the resulting design is an important issue. This paper considers the study of the optimality of the resulting design. A lower bound to E(χ²)$E({\chi }^2)$ has been obtained for the extended supersaturated designs. Some examples and a small catalogue of E(χ²)-optimal$E({\chi }^2)\mathrm{-}\mathrm{optimal}$ supersaturated designs are also presented.